The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking

arXiv:2404.14581v1 Announce Type: new
Abstract: Generative AI models can produce high-quality images based on text prompts. The generated images often appear indistinguishable from images generated by conventional optical photography devices or created by human artists (i.e., real images). While the outstanding performance of such generative models is generally well received, security concerns arise. For instance, such image generators could be used to facilitate fraud or scam schemes, generate and spread misinformation, or produce fabricated artworks. In this paper, we present …

abstract adversarial adversarial ai ai models art artists arxiv benchmarking concerns cs.ai cs.cr cs.cv detection devices generated generative generative ai models generative models human images optical performance photography prompts quality security security concerns text type understanding